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Added 1 month ago
Manager, AI & Data Consulting
Artefact North America
Montreal, QC
Working knowledge of at least one AI platform ecosystem - Google (Gemini), Anthropic (Claude), or OpenAI - and of core GenAI concepts (RAG, agents, context engineering).
Added 1 month ago
Director, AI & Data Science
Artefact North America
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 1 month ago
Director, AI & Agentic Engineering
Artefact North America
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 1 month ago
IF
AI Developer Senior
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior AI Developer to join our growing team!
Added 2 months ago
W
Senior Software Developer, LLM Infrastructure
Wealthsimple
Canada
- Full-time
The Machine Learning Infrastructure team builds the core foundation powering AI and GenAI initiatives across Wealthsimple. As our AI footprint expands, our priority is building scalable,…
Added 1 month ago
M(
Applied AI Engineer
MaintainX (An Autodesk Company)
Remote, Canada
- $153,000 to $224,000 CAD / year
- Full-time
- Remote
Strong applied GenAI craft - prompt engineering, structured output / tool-use, RAG and retrieval-context patterns
Added 1 month ago
WT
Senior Software Developer, LLM Infrastructure
Wealthsimple Technologies
Remote, Canada
- $152,900 to $189,000 CAD / year
- Full-time
- Remote
The Machine Learning Infrastructure team builds the core foundation powering AI and GenAI initiatives across Wealthsimple. As our AI footprint expands, our priority is building scalable,…
Added 1 month ago
Manager, AI & Data Consulting
Welcome to the Jungle
Montreal, QC
Working knowledge of at least one AI platform ecosystem - Google (Gemini), Anthropic (Claude), or OpenAI - and of core GenAI concepts (RAG, agents, context engineering).
Added 1 month ago
HT
Lead AI Test Automation Architect
High Tech Genesis
Canada
- Contract
Strong Python, TypeScript, or Java development
Added 27 days ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent…
Added 1 month ago
IS
Data Science ML/GenAI Engineer (FRE/ ENG)
Irth Solutions
Remote, Canada
- Full-time
- Remote
Data Science ML/GenAI Engineer (Intermédiaire)À propos d’Irth Solutions
Added 1 month ago
Director of Engineering, Operations Planning
HelloFresh
Toronto, ON
Own the GenAI transformation - define and drive a concrete roadmap for becoming a genuinely AI-native engineering organisation: from AI-assisted development and automated incident response,…
Added 1 month ago
CI
AI Enginering Technical Lead (Permanent)
CoreFactor Inc.
Toronto, ON
- Full-time
Lead the integration design efforts for GenAI solutions for contact center.
Added 1 month ago
JG
Oracle AI Architect
J&M Group
Toronto, ON
- Full-time
…frameworks.OCI Implementation: Architect end-to-end pipelines using OCI GenAI services| Data Science platforms| and Autonomous Database.Enterprise Integration: Develop seamless integrations…
Added 1 month ago
PG
AI Developer
Pacer Group
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Hands-on experience in designing and implementing Generative AI (GenAI) solutions, including RAG (Retrieval-Augmented Generation), prompt engineering, LLM orchestration, and AI agents.
Added 1 month ago
B
Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python , Spark/PySpark, Scala
Added 1 month ago
B
Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python , Spark/PySpark, Scala
Added 1 month ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
Added 1 month ago
Senior Python Developer
Ampliwork
Montreal, QC
We are looking for a Senior Python Developer with strong core software engineering fundamentals and hands-on experience building production-grade, cloud-native systems.
Added 1 month ago
TR
Applied Research Intern (NLP/ML/GenAI)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Proficiency in implementing solutions using Python, DL and agentic frameworks, and relevant tools,
Added 2 months ago
TA
Lead AI Engineer
Tiger Analytics
Canada
- Full-time
AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.
Added 1 month ago
Software Development Engineer, Early Career - 2026
Amazon
Vancouver, BC
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 1 month ago
PC
Financial Instruments Valuation and Market Risk Manager
Pwc Canada
Toronto, ON
- Full-time
Assisting in the development of leading edge GenAI solutions that transform the delivery of these services, and provide GenAI advice to our clients
Added 1 month ago
PC
Credit Risk Modelling Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
…challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling…
Added 1 month ago
AI Application Security Architect
ACV
Toronto, ON
…servers, and autonomous agents, with guardrails that preserve developer velocity across an API-first engineering…

Ampliwork

Senior Python Developer

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Aug 17, 2026

Original job description

About the role

We are looking for a Senior Python Developer with strong core software engineering fundamentals and hands-on experience building production-grade, cloud-native systems.

This is a highly hands-on role for someone who can take end-to-end ownership of solutions - from architecture and development through deployment, testing, client interaction, and ongoing delivery.

While experience with Generative AI and agentic systems is important, we are primarily looking for a strong senior Python engineer who knows how to build reliable, scalable enterprise software.

This is an urgent hire with an immediate start date.

What you'll do

End-to-End Ownership: Drive the full development lifecycle of custom AI agents and agentic workflows, taking complete accountability for project delivery beyond individual components.
Cross-Functional Collaboration: Partner closely with Data Science, DevOps, Product, and Pre-Sales teams to architect and ship scalable solutions.
Client Interfacing & Communication: Directly communicate with clients to set priorities, manage the book of work, and effectively address urgent technical queries.
Cloud-Native Architecture: Build resilient, cloud-native microservices using modern Python frameworks, AWS infrastructure, and scalable database systems.
Testing & Quality Assurance: Drive high standards through comprehensive testing suites (Unit, Regression, Integration, and Performance testing) within CI/CD pipelines.
Multi-Project Execution: Comfortably balance, prioritize, and deliver on multiple client

What we're looking for

Strong professional experience as a Python software engineer/developer, ideally at a senior level.
Advanced hands-on proficiency with Python.
Strong experience with FastAPI and Pydantic.
Proven experience designing and delivering production-grade, cloud-native systems.
Hands-on experience with AWS and cloud architecture.
Experience working with PostgreSQL and NoSQL databases.
Strong understanding of APIs, microservices, and API security.
Strong knowledge of automated testing, including unit, integration, regression, and performance testing.
Experience with CI/CD pipelines and modern software engineering practices.
Practical experience with Generative AI architectures and/or agentic frameworks.
Ability to independently own projects from technical design through production deployment.
Strong problem-solving skills and the ability to work effectively across multiple concurrent priorities.
Strong communication skills and comfort working directly with internal stakeholders and clients.
A self-starter mindset with a strong sense of accountability and ownership.

Even better if you have

Core Technical Stack: Strong hands-on expertise in Python, FastAPI, and Pydantic.
GenAI Experience: Practical experience delivering solutions powered by Generative AI architectures and agentic frameworks.
Cloud Infrastructure: Solid hands-on experience with AWS and cloud-native architecture principles.
Databases: Proficiency with PostgreSQL and NoSQL database engines.
Security & Testing: Strong knowledge of API security, automated testing frameworks (Unit, Integration, Performance, Regression), and CI/CD pipelines.
Mindset & Leadership: High degree of self-initiative, strong client communication skills, and a proven track record of shipping end-to-end enterprise solutions.

Employment Type: Full-Time, Salaried Employee

Start Date: Immediate - Urgent Hire

Location:
Montreal, Canada: Hybrid - 2 days per week in the office
India: Fully Remote

Candidates must be based in either Montreal or India.

Why Join Us

At Ampliwork, you'll work on real-world enterprise AI systems where strong engineering directly impacts what we deliver to our clients.

You'll have the opportunity to take meaningful ownership, work across the full development lifecycle, and build production-ready solutions at the intersection of software engineering, cloud infrastructure, and Generative AI.

If you're a strong Python engineer who enjoys solving complex problems, taking ownership, and shipping quickly, we'd love to hear from you.

If you're a motivated and detail-oriented individual who's eager to contribute to cutting-edge technology, we encourage you to apply.

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More about this job

Responsibilities

The Applied AI Engineer will lead the design and development of scalable, cloud-native software architectures and implement complex features using Python. They will drive the implementation of Generative AI solutions, including RAG pipelines and Agentic Workflows, while ensuring system observability and performance.

Requirements

Candidates must have 2-5 years of experience in software engineering with advanced proficiency in Python and a solid grasp of Deep Learning and NLP fundamentals. A proven track record in deploying enterprise-level systems and expertise in Generative AI technologies is required.

Skills

Python
Deep Learning
Machine Learning
Natural Language Processing
Generative AI
RAG Pipelines
Agentic Workflows
Cloud-native architecture
JavaScript
Vector databases
MLOps
Prompt engineering
Transformer models
System observability
Data chunking
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Visa sponsorship

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Keywords

Applied AI Engineer
Python
Cloud-native
Deep Learning
Machine Learning
Agentic Workflows
JavaScript
NLP
Generative AI
Transformer models
Embeddings
Tokenization
Prompt engineering
RAG
Vector databases
MLOps
Observability
Text-to-SQL
Small Language Model
Model Context Protocol

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